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20132023
most citedApproximation of Some Multivariate Risk Measures for Gaussian Risks

1 citations

6 papers

stat.ME2023★ 1 cited

Structural restrictions in local causal discovery: identifying direct causes of a target variable

Juraj Bodik, Valérie Chavez-Demoulin

We consider the problem of learning a set of direct causes of a target variable from an observational joint distribution. Learning directed acyclic graphs (DAGs) that represent the…

math.ST2018

Robust estimations for the tail index of Weibull-type distribution

Chengping Gong, Chengxiu Ling

Based on suitable left-truncated or censored data, two flexible classes of -estimations of Weibull tail coefficient are proposed with two additional parameters bounding the impa…

q-fin.RM2018★ 1 cited

Approximation of Some Multivariate Risk Measures for Gaussian Risks

E. Hashorva

Gaussian random vectors exhibit the loss of dimension phenomena, which relate to their joint survival tail behaviour. Besides, the fact that the components of such vectors are ligh…

math.PR2014

Tail approximation for reinsurance portfolios of Gaussian-like risks

Julia Farkas, Enkelejd Hashorva

We consider two different portfolios of proportional reinsurance of the same pool of risks. This contribution is concerned with Gaussian-like risks, which means that for large valu…

math.PR2013

A risk model with an observer in a Markov environment

Hansjoerg Albrecher, Jevgenijs Ivanovs

We consider a spectrally-negative Markov additive process as a model of a risk process in random environment. Following recent interest in alternative ruin concepts, we assume that…

math.PR2013

Exact boundaries in sequential testing for phase-type distributions

Hansjörg Albrecher, Peiman Asadi, Jevgenijs Ivanovs

We consider Wald's sequential probability ratio test for deciding whether a sequence of independent and identically distributed observations comes from a specified phase-type distr…